Bayesian Optimization (BO) [1]} is an exploration-and-exploitation approach to finding global minima of a multivariate function \(g: \mathbf {{A}} \rightarrow \mathbb {R}\)  that does not assume any specific functional form for \(g\)  and is usually used for functions that are expensive to evaluate. In our application \(g\)  is implemented by a physics-based simulator.
